Evidence map›Paper›PMID 36404509›Full record

ArticleArchives of Iranian medicine2022

Trend of Smuggled Cigarette Consumption in Tehran in the Last Two Decades.

Gholamreza Heydari, Luk Joossens

Abstract read
In one paragraph

Article in Archives of Iranian medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Gholamreza HeydariTobacco Prevention and Control Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-3269-2617
Luk JoossensFoundation against Cancer, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIllicit tobacco trade is focused on Iran as a main target in the WHO's eastern Mediterranean region. Serial studies of Cigarette Packs Survey with same method were conducted in Tehran between 2003 and 2015 to evaluate consumed smuggled cigarettes. This study as the fourth Cigarette Packs Survey is designed to indicate the trends of illicit cigarette trade in Tehran in the last two decades.

methodsA cross-sectional household study was carried out in early 2021 in Tehran on 3042 persons who smoked at least one daily cigarette for a year. The sampling method was like the sampling method used in three previous studies. Participants aged≥15 years were asked to reveal their current cigarette pack, which was either legal cigarettes (having governmental label); or illegal cigarettes (without governmental label).

resultsThe subjects included 2536 males (83.4%) and the mean age was 39.9±12.1 years; 1854 subjects (60.9%) showed foreign cigarettes and 1188 (39.1%) showed domestic cigarettes; 2705 (88.9%) consumed legal cigarettes and 337 (11.1%) consumed illegal cigarettes. Consumption of illegal cigarettes by gender showed greater use of smuggled cigarettes in males (11.7%vs 8.1%). No significant differences were seen based on the marital and educational status in terms of illegal cigarettes prevalence.

conclusionCompare with previous studies, the trend of consumption of illicit cigarettes was decreasing in past two decades. This could be due to new regulation on monitoring cigarette distribution and changing illegal brands to legal as joint production.

Indexed as

CommerceTobacco ProductsAdultCross-Sectional StudiesHumansInternationalityIranMaleMiddle AgedIllegal brandsIllicit cigarettesTrend

Identifiers

PMID36404509
PMCPMC11904283

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.